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Proceedings Paper

Optical vegetation coverage is a better parameter for estimating vegetation biomass
Author(s): Peijun Liu; Lin Zhang; Ranghui Wang; Zili Fan
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Paper Abstract

Optical vegetation coverage can be defined as the ratio of the optical information content of the actual vegetation to that of at the full of vegetation in pixel. Its reflectance model of NOAA/AVHRR is as follows: Cov equals RA2-RA1- rso/RA2V-RA1V-rso Where: Cov is optical vegetation coverage; RA2 and RA1 are respectively the reflectances of the second and the first channel; RA2V and RA1V are respectively the reflectance of the second and the first channel at the full of vegetation; rso is a constant, which is the difference of soil reflectance between the second channel and the first channel. Similarly, its radiance model of NOAA/AVHRR is as follows: Cov equals BA2-BA1-bso/BA2V-BA1V-bso Its geometric meaning is analogous to the ratio of the projection of plant branches and leaves to pixel area. OVC has removed effects of soil background, and shows the weight of vegetation optical information, moreover, it has a uniform standard, as a parameter for estimating vegetation biomass, it is better than DVI, RVI and NVI. This parameter is used to monitor vegetation growing in Xinjiang and achieved good results. In order to extract the spectral information of soil water contents, Cov is used to decompose pixels and removed the vegetation effects.

Paper Details

Date Published: 19 August 1998
PDF: 4 pages
Proc. SPIE 3504, Optical Remote Sensing for Industry and Environmental Monitoring, (19 August 1998); doi: 10.1117/12.319520
Show Author Affiliations
Peijun Liu, Xinjiang Institute of Biology, Pedology, and Desert Research (China)
Lin Zhang, Xinjiang Institute of Biology, Pedology, and Desert Research (China)
Ranghui Wang, Xinjiang Institute of Biology, Pedology, and Desert Research (China)
Zili Fan, Xinjiang Institute of Biology, Pedology, and Desert Research (China)


Published in SPIE Proceedings Vol. 3504:
Optical Remote Sensing for Industry and Environmental Monitoring
Upendra N. Singh; Huanling Hu; Gengchen Wang, Editor(s)

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